TY - GEN
T1 - Closed Doors: modelling intention in behavioural interfaces
AU - Wegener, Rebekah
AU - Cassens, Joerg
AU - Kofod-Petersen, Anders
PY - 2009/12
Y1 - 2009/12
N2 - Truly smart systems need to interface with the behaviour of human and non human actors in their surroundings. Systems with such interfaces could prove beneficial in supporting those with non standard communication practices, the elderly living alone, people with disabilities, and many others. While the benefits are clear, the means of achieving true behavioural interfaces are yet unclear. In this paper we outline how semiotics helps us to understand behaviour. We show how such an approach may be put to use in modelling the intention to walk through a door. We begin by outlining the semiotic approach and then discuss the behaviours which need to be described to model intention. We also discuss how this varies according to context and suggest the potential for a more general model of behaviour.
AB - Truly smart systems need to interface with the behaviour of human and non human actors in their surroundings. Systems with such interfaces could prove beneficial in supporting those with non standard communication practices, the elderly living alone, people with disabilities, and many others. While the benefits are clear, the means of achieving true behavioural interfaces are yet unclear. In this paper we outline how semiotics helps us to understand behaviour. We show how such an approach may be put to use in modelling the intention to walk through a door. We begin by outlining the semiotic approach and then discuss the behaviours which need to be described to model intention. We also discuss how this varies according to context and suggest the potential for a more general model of behaviour.
KW - Behavioural interfaces
KW - Artificial Intelligence (AI)
KW - Intention detection
KW - multimodal-data fusion
UR - https://pdfs.semanticscholar.org/81ec/a2c870ea8138d76c0805f3b05c615d8e9b22.pdf
M3 - Conference contribution
BT - Proceedings of the Norwegian Artificial Intelligence Society Symposium (NAIS 2009)
ER -